Artificial Intelligence (AI) is no longer a futuristic idea—it is a competitive advantage businesses must adopt today. From streamlining operations to transforming marketing, AI agents are emerging as strategic partners.
An AI agent is a software program that can independently analyze information, make decisions, and take actions to achieve specific goals on your behalf. Leaders across industries are asking how to build AI agents to improve decision-making, reduce costs, and drive growth.
Forward-thinking organizations are building AI agents that replicate and replace many functions traditionally handled by marketing agencies. These systems don’t eliminate human creativity or strategy. AI agents take on repetitive and analytical tasks, allowing human teams to focus on innovation.
Let's explore why businesses need to prioritize AI strategy, how AI is reshaping digital marketing, and most importantly, how to build AI agents that can deliver measurable results.
How AI Helps Businesses Make Better Strategic Decisions
AI enables leaders to move from intuition-driven decisions to evidence-based strategy. Traditionally, executives relied on static reports and gut instinct. AI changes that equation by analyzing vast data sets, running simulations, and predicting outcomes with greater accuracy (McKinsey).
AI can:
- Process structured and unstructured data in seconds to surface insights
- Forecast market scenarios using predictive models
- Detect weak signals such as early customer sentiment shifts or supply chain risks
- Audit blind spots by identifying untapped opportunities
Companies that adopt AI for demand forecasting improve accuracy by 20 to 50 percent. Improved demand planning can directly impact profitability (Harvard Business Review) and supply production.
Leaders looking to use AI agents should start by developing an AI agent for strategy.
The first step is to identify high-value decisions that could benefit from faster analysis. Examples of this might include decisions about pricing, market entry, or customer retention problems.
Action Plan for Leaders
- Collect diverse data sets from CRM, financial records, and market research.
- Implement predictive modeling to simulate multiple business scenarios.
- Use AI tools to highlight risks and opportunities that executives may overlook.
- Position AI agents as decision partners at the boardroom level.
For more guidance on aligning analytics with outcomes, see High10’s blog on digital marketing strategy.
Growth Strategies of AI Startups to Watch
Studying AI startups offers insight into future growth patterns. These companies are not just building tools—they are reshaping how industries operate.
One clear trend is the rise of autonomous agents. TinyFish recently raised $47 million to deploy agents that automate competitive monitoring and e-commerce optimization. Similarly, Omneky uses AI to generate, test, and optimize ads without human intervention.
These examples show that startups are not asking how to build an AI agent as an experiment. Growing organizations are embedding agentic AI at the core of their business models.
For additional insight, check High10’s blog on growth marketing.
How AI Improves Digital Marketing Strategies
Digital marketing is one of the most practical areas for building an AI agent. An AI agent can manage campaign optimization in real time, reallocate budgets across platforms, and personalize messaging at scale.
Instead of relying on monthly reports, AI agents can monitor performance minute by minute. They can pause underperforming ads, increase spend on successful channels, and send alerts when anomalies occur (TechRadar).
AI also makes hyper-personalization possible by segmenting audiences all the way down to an individual level. This approach replicates the sophistication of companies like Netflix or Amazon who have benefited from the perceptions of individual personalization, but now smaller businesses can also access the ability to do this affordably.
Practical Uses in Marketing
- Predictive lead scoring to identify who is most likely to buy
- Automated content generation and A/B testing at scale
- Cross-channel integration for reporting and spend optimization
- Anomaly detection to catch sudden changes in conversions or costs
For additional insights, see High10’s articles digital marketing best practices.
How Leaders Integrate AI into Business Strategy
Adopting AI requires leadership commitment. Creating an AI agent is more than a tech project. It is a strategic change that affects culture, governance, and business models.
Organizations typically progress through three stages of AI maturity: experimentation, integration, and autonomy. Most organizations stall at integration. The Infosys HFS research report Only 12% of enterprises have cracked the AI maturity code found that 37% remain in exploratory phases, and only 8% have achieved organization-wide integration, implying many never cross that barrier (Infosys).
At this point, AI is embedded into workflows but is not yet allowed to act independently. Advancing to autonomy requires executive vision and governance.
Leadership Imperatives
- Build AI literacy across the C-suite so leaders understand the opportunities and risks.
- Establish ethical and compliance frameworks to ensure responsible AI use.
- Invest in change management, since cultural adoption is often the biggest barrier.
For examples of strategy execution, review High10’s content on leadership in digital marketing.
Why Businesses Need AI Strategy Consultants
Many companies ask why they should bring in AI strategy consultants if they already have in-house talent. The answer lies in speed and foresight, along with the benefit of an outside perspective.
Consultants help identify the highest-value use cases, prevent wasted investment, and ensure AI initiatives align with your business goals. They also establish governance frameworks to mitigate risks related to compliance or bias (Business Insider).
Organizations experiencing low ROI from AI tools should seriously consider hiring an experienced agency. A consultant can help by organizing data, developing processes, and creating a clear action plan to achieve your goals.
How AI Increases Profitability
AI impacts profitability in two ways: cost reduction and revenue growth.
Cost reductions can come from automating workflows, improving supply chain operations, and predictive maintenance. Revenue growth can be generated through smarter marketing spend, retention-focused campaigns, and AI-driven product innovation.
Learn more about digital ROI strategies on High10’s blog.
How to Build AI Agents to Build a Marketing Strategy
The most critical question leaders ask is how to build an AI agent that can take over marketing agency tasks.
Step 1: Define Scope and Goals
Identify the functions where AI creates the most value. Reporting, creative testing, and media buying are common starting points.
Step 2: Choose a Platform
Common frameworks like LangChain and Relevance AI use custom workflows. They also use special tools like Jasper for content and Albert for programmatic advertising.
Step 3: Map the Workflow
Define inputs, AI agent actions, human review, and KPI tracking.
Step 4: Train and Test
Feed brand guidelines, historical data, and target personas into the system. Compare AI and human campaigns to measure the quality of results.
Step 5: Deploy with Guardrails
Automate low-risk tasks first, while keeping humans involved for more sensitive areas.
Step 6: Measure ROI
Track efficiency (hours saved, agency spend reduced) and performance (CTR, CAC, conversions).
For a practical roadmap, see High10 Digital’s blog on building AI-driven strategies.
Conclusion: The Human and AI Partnership
Building an AI agent is not about replacing human creativity—it is about amplifying it. Businesses that learn how to build agentic AI today will streamline costs, accelerate growth, and unlock innovation.
The winners of the future will combine human judgment and experience with AI autonomy. Using AI agents to manage execution while leaders focus on vision and growth unlocks exponential potential.
For deeper insights into how to responsibility use AI, explore High10 Digital’s blog. Find AI adoption insights, digital growth expertise, and strategies for future-ready businesses in our blogs.
References
- The Agentic AI Advantage – KPMG
- Artificial Intelligence Strategy – IBM
How to Design an AI Marketing Strategy – Harvard Business Review - Artificial Intelligence and Business Strategies – Berkeley Executive
- How AI is Transforming Strategy Development – McKinsey
- AI Agent Startup TinyFish Raises $47M – Reuters
Transforming Dark Data into AI-Driven Business Value – TechRadar - Winning the AI Long Game – Business Insider
Omneky Overview – Wikipedia - LangChain Framework
- Only 12% of enterprises have cracked the AI maturity code—it’s catch-up time for the rest - Infosys